Background

Historically, disease activity diminished during pregnancy in women with relapsing-remitting MS. Today, women with high disease activity are more likely to attempt pregnancy due to the disease control that new therapies offer. But disease activity during pregnancy in the modern day remains understudied.

Objectives

Describe disease activity in a modern pregnancy cohort, grouped by preconception disease-modifying therapy (DMT) class; determine the predictors of relapse during pregnancy.

Methods

Data were obtained from the MSBase Registry. Term/preterm pregnancies conceived from 2011-2019 were included. DMT were classed by low, moderate and high-efficacy. Annualized relapse rates (ARR) were calculated for each pregnancy trimester and 12 months either side. Predictors of relapse during pregnancy were determined using clustered logistic regression.

Results

We included 1640 pregnancies from 1452 women. DMT used in the year before conception were none (n=346), low (n=845), moderate (n=207) and high-efficacy (n=242). Most common DMT in each class was interferon-beta (n=597), fingolimod (n=147) and natalizumab (n=219) for low, moderate and high-efficacy respectively. Conception EDSS ≥2 was more common in higher efficacy DMT groups (high: 41.3%; moderate 28.5%; low 22.4%; none 20.2%). For low-efficacy and no DMT groups, ARR fell through pregnancy. ARR of the moderate-efficacy group increased in the 1^st pregnancy trimester (0.55 [95% CI 0.36-0.80] vs 0.14 [95% CI 0.10-0.21] on low-efficacy), then decreased to a trough in the third. Conversely, ARR steadily increased throughout pregnancy for those on high-efficacy DMT (3^rd trimester: 0.42 [95% CI 0.25-0.66] vs 0.12 [95% CI 0.07-0.19] on low-efficacy). Higher efficacy DMT groups were associated with higher ARR in the early postpartum period (high: 0.84 [95% CI 0.62-1.1]; moderate: 0.90 [95% CI 0.65-1.2]; low: 0.47 [95% CI 0.38-0.58]). Preconception use of high and moderate-efficacy DMT and higher preconception ARR were predictors of relapse in pregnancy. But, continuation of high-efficacy DMT into pregnancy was protective against relapse (odds ratio 0.80 [95% CI 0.68-0.94]). Age ≥35 years was associated with reduced odds of relapse.

Conclusions

Women with RRMS treated with moderate or high-efficacy DMT are at greater risk of relapse during pregnancy. Careful pregnancy management, and use of long-acting high-efficacy DMT preconception, or continuing natalizumab into pregnancy, may prevent relapse in pregnancy.

Background

Our current understanding of demographic and clinical modifiers of the effectiveness of multiple sclerosis (MS) therapies is limited.

Objectives

To assess whether patients’ response to disease modifying therapies (DMT) in MS varies by disease activity (annualised relapse rate, presence of new MRI lesions), disability, age, MS duration or disease phenotype.

Methods

Using the international MSBase registry, we selected patients with MS followed for ≥1 year, with ≥3 visits, ≥1 visit per year. Marginal structural models (MSMs) were used to compare the hazard ratios (HR) of 6-month confirmed worsening and improvement of disability (EDSS), and the incidence of relapses between treated and untreated periods. MSMs were continuously re-adjusted for patient age, sex, pregnancy, date, time from first symptom, prior relapse history, disability and MRI activity.

Results

Among 23 687 patients with relapsing MS, those on DMT experienced 20% greater chance of disability improvement [HR 1.20 (95% CI 1.0-1.5)], 47% lower risk of disability worsening [HR 0.53 (0.39-0.71)] and 51% reduction in relapses [HR 0.49 (0.43-0.55)]. The effect of DMT on relapses and EDSS worsening was attenuated with longer MS duration and higher prior relapse rate. The effect of DMT on EDSS improvement and relapses was more evident in low EDSS categories. DMT was associated with 51% EDSS improvement in patients without new MRI lesions [HR 1.51 (1.00-2.28)] compared to 4% in those with MRI activity [HR 1.04 (0.88-1.24)]. Among 26329 participants with relapsing or progressive MS, DMT was associated with 25% reduction in EDSS worsening and 42% reduction in relapses in patients with relapsing MS [HR 0.75 (0.65-0.86) and HR 0.58 (CI 0.54-62), respectively], while evidence for such beneficial effects of treatment in patients with progressive MS was not found [HR 1.11 (0.91-1.46) and HR 1.16 (0.91-1.46), respectively].

Conclusions

DMTs are associated with reduction in relapse frequency, progression of disability, and increased chance of recovery from disability. In general, the effectiveness of DMTs was most pronounced in subgroups with shorter MS duration, lower EDSS, lower relapse rate and relapsing MS phenotype.

Background

Over 2 years in the CARE-MS trials (NCT00530348; NCT00548405), alemtuzumab (12 mg/day; baseline (BL): 5 days; 12 months later: 3 days) significantly improved clinical and MRI outcomes versus subcutaneous interferon beta-1a (SC IFNB-1a) in relapsing-remitting multiple sclerosis patients. Alemtuzumab efficacy was maintained through a 4-year extension study (NCT00930553), wherein patients could receive additional 3-day courses (≥12 months apart, as needed for disease activity) or receive other disease-modifying therapy per investigator’s discretion.

Objectives

To evaluate post hoc the effects of alemtuzumab on brain atrophy over 6 years in CARE-MS patients without relapses and MRI disease activity.

Methods

Analysis included pooled CARE-MS patients with or without disease activity between BL and Year 1 or BL and Year 2. Absence of disease activity was defined as no BL gadolinium (Gd)-enhancing T1 lesions and no clinical relapses or MRI disease activity (new Gd-enhancing or new/enlarging T2 lesions) from Years 0-1 or Years 0-2 (Definition 1). A second definition had the additional criterion of no relapse within 60 days before BL (Definition 2). Brain atrophy was measured by brain parenchymal fraction (BPF); differences in the median annualized percent change in BPF were assessed using ranked ANCOVA adjusted for region and BL BPF.

Results

Compared with SC IFNB-1a, alemtuzumab reduced median annualized percent change in BPF in patients free of disease activity during Years 0-1 (Definition 1: -0.37% vs -0.61%, P=0.006; Definition 2: -0.36% vs -0.54%, P=0.024) or Years 0-2 (Definition 1: -0.27% vs -0.44%, P=0.014; Definition 2: -0.28% vs -0.41%, P=0.045). Median annualized percent change in BPF was reduced with alemtuzumab versus SC IFNB-1a in patients with disease activity in Years 0-1 (-0.61% vs -0.79%, P=0.005) or Years 0-2 (-0.40% vs -0.56%, P<0.0001). Over 6 years, brain volume loss (BVL) was slower in patients without disease activity who initiated alemtuzumab at core study BL (-1.66%) than in those who received SC IFNB-1a in the core studies and initiated alemtuzumab in the extension (-2.05%).

Conclusions

Brain atrophy was reduced with alemtuzumab compared with SC IFNB-1a in patients without disease activity over 2 years. A slower rate of BVL was maintained through Year 6 in patients without disease activity who received alemtuzumab in the core study compared with SC IFNB-1a, suggesting alemtuzumab may slow neurodegeneration associated with BVL.

STUDY SUPPORT: Sanofi.

Background

To assess the connectome disruption in patients with multiple sclerosis (MS), methods have been developed that utilise connectomes derived from healthy controls (HC) which require the accurate registration of white matter structures from patients with MS onto HCs whole brain streamline tractograms.

MRI T1 based image registration may be inaccurately mapped to HC derived tractograms due to the lack of information within the relatively homogenous T1 signal of white matter.

Fibre orientation distributions (FODs), created by the constrained spherical deconvolution (CSD) model of white matter diffusion data, have the potential to improve white matter registration as it holds information of all fibre directions for each voxel.

Objectives

Here we compare the accuracy and utility of FOD-based, T1-based and FA-based registration of white matter tracts in MS.

Methods

10 MS patients and 10 age matched healthy controls underwent 3T MRI scanning including 1mm 3D T1 and single shell diffusion weighted imaging. FOD maps were created using CSD algorithm designed for single shell data. Tensor and FA maps were created.

Non-linear registration was undertaken directly from each patient to each control (ie. 100 warps) with ANTs using T1 and FA images, and through an MNI template intermediary.

Registration was performed directly from each patient to controls using FOD maps using MRtrix3 FOD-based registration, as well as through a custom population FOD template.

Each registration method was assessed in transforming three white matter tracts, corticospinal tracts (CST), anterior thalamic radiations (ATR) and optic radiations (OR), from patients to controls. The resultant transformed segmentations from each registration method was compared to the control segmentation by calculating its Dice coefficient.

Further to this each method was assessed using a tract segmentation that had the cortical ribbon and juxtacortical tract removed.

Statistically significant differences were assessed by non-parametric Kruskal-Wallis test with Dunn’s post hoc testing.

Results

For combination of all tracts, the highest Dice coefficients were with direct FA (median = 0.727, IQR 0.06215) and direct T1 (median = 0.72185, IQR 0.056525) with no significant difference found.

For combination of all cropped tracts, the highest Dice coefficients were with FOD population template (median = 0.7673, IQR 0.0468), direct FOD (median = 0.76565, IQR 0.050175) and direct FA registration (median = 0.7626, IQR 0.060025) with no significant difference found.

When utilising an intermediary template, both T1 and FA based methods performed worse, whereas the FOD population template performed similarly.

Conclusions

FA and T1 based registration outperformed FOD based, despite more white matter information. This was driven by poorer juxtacortical registration in the FOD based method. This is important in the analysis of MS due to the high prevalence of juxtacortical lesional pathology.

Background

To date, no studies have explored the relationship between brain atrophy and MS disability using differing MRI protocols and scanners at multiple sites.

Objectives

To assess the association between brain atrophy and MS disability, as measured by EDSS and 6-month confirmed disability progression (CDP).

Methods

In this retrospective study at 4 MS centres, a total of 1300 patients had brain MRI imaging assessed by icobrain. Relapse-onset MS patients were included if they had two clinical MRIs 12 (±3) months apart and ≥2 EDSS scores post MRI-2, the first ≤3 months from MRI-2, with ≥6 months between first and last EDSS. Volumetric data were analysed if the alignment similarity between two images was as good as that of same-scanner scan-rescan images (normalised mutual information ≥0.2). The percentage brain volume change (PBVC), percentage grey matter change (PGMC), FLAIR lesion volume change, whole brain volume, grey matter volume, FLAIR lesion volume and T1 hypointense lesion volume at MRI-2 were calculated. Ordinal mixed effect models were used to determine the association between these volumetric MRI measures and all EDSS scores post MRI-2. Cox proportional hazards models were used for the 6-month CDP outcome, using a subset of patients with ≥3 EDSS. Models were adjusted for proportion of time spent on disease-modifying therapy during MRIs ± whole brain/grey matter volume at baseline MRI.

Results

Of the 260 relapse-onset MS patients included, 204 (78%) MRI pairs were performed in the same scanner and 56 (22%) pairs were from different scanners. During the follow-up period (median 3.8 years, range 1.3-8.9), 29 of 244 (12%) patients experienced 6-month CDP. There was no evidence for association between annualised PBVC or PGMC and CDP or EDSS (p>0.05). Cross-sectional whole brain and grey matter volume (at MRI-2) tended to associate with CDP (HR 0.99, 95% CI 0.98-1.00, p=0.06). Every 1ml of whole brain or grey matter volume lost represented a 1% higher chance of reaching 6-month CDP. Only whole brain volume (at MRI-2) was associated with EDSS score (β -0.03, SE 0.01, p<0.001) and the slope of EDSS change over time (β -0.001, SE 0.0003, p=0.02). On average, every 33ml reduction of brain volume was associated with a 1 step increase in EDSS.

Conclusions

In this real-world clinical setting where a fifth of the brain atrophy analysis were performed on different scanners, we found no association between individual brain atrophy and MS disability. However, there was an association between cross-sectional whole brain volume with EDSS and slope of EDSS change.

Background

Longitudinal cognitive trajectories in MS are heterogenous and difficult to measure. Computerised tests designed to screen broad cognitive domains may be a reliable method to detect discrete trajectories of cognitive performance

Objectives

To validate a latent class model to identify trajectories of reaction time change in people with relapsing remitting MS (pwRRMS).

Methods

The MSReactor computerised cognitive battery is a self-administered, online set of reaction time tasks assessing psychomotor function (PsychoM), visual attention (VisAtt) and working memory (WorkingM). Participants completed both 6-monthly in-clinic testing and additional remote testing. Latent class analysis was used to model the longitudinal reaction times and identify discrete cognitive trajectories within the heterogeneous data. We applied a cross validation method to confirm the optimal models for all three reaction time tasks. Briefly, the cohort was split into training and test sets (50:50) and the mean root mean square error (RMSE) calculated for the difference between training and test trajectories calculated at each day of follow up, over 100 repetitions. To determine the minimum number of tests required to reliably classify an individual into a longitudinal trajectory the dataset for each task was reduced to 3, 4 and 5 tests per participant and classification compared to the complete dataset.

Results

We included 478 pwRRMS who had completed at least 3 MSReactor tests over a minimum of 30 days follow up. In total, 3846 individual tests were included in each model (median tests/participant=5 (range 3-332), mean follow up of 774 +- 359.5 days). Three latent classes were identified for each task, with the PsychoM task identifying a group of pwRRMS with a mean predicted trajectory of slowing reaction times. In validation, the PsychoM task was the most consistent with the smallest RMSE for each of the 3 classes (68 milliseconds (ms), 95%CI 59-77ms; 61ms, 95% CI 50-72ms and 16ms, 95% CI 14-18ms) followed by the VisAtt task (RMSE = 114ms, 95ms and 29ms) and WorkingM task (RMSE = 137ms, 138ms and 46ms). Reduced datasets of 3, 4 and 5 tests per participant in the PsychoM task were able to classify participants into the trajectories identified in the full dataset model, with 83%, 86% and 90% accuracy respectively.

Conclusions

Latent class modelling of longitudinal reaction times collected with MSReactor was able to detect discrete trajectories of cognitive performance. The PsychoM task latent class model identified a group of RRMS with a mean predicted slowing of reaction times and was the most consistent model in cross validation. Performing the modelling on just 3, 4 or 5 tests per participant was highly accurate in defining latent trajectories, giving the battery clinical utility where multiple years of follow up may not be realistic.

Background

Ocrelizumab (OCR) is a humanised anti-CD20⁺ monoclonal antibody approved for the treatment of primary progressive multiple sclerosis (PPMS), and relapsing forms of MS, including both relapsing-remitting (RRMS) and secondary progressive MS (SPMS) with relapses.

Objectives

In a real-world setting, to describe 1) baseline characteristics of patients with MS treated with OCR, 2) treatment pathway across lines of therapy up to initiation of OCR, and 3) initial clinical experience in patients with ≥6 months follow-up data from OCR initiation.

Methods

Secondary data analysis using MSBase Registry data including patients with a confirmed diagnosis of MS and started OCR therapy within 3 months prior to or at time of MSBase eligible/initial visit. Descriptive statistics were used to analyze baseline patient characteristics' recorded within 3 months of OCR initiation, including demographics, disease course and duration, prior disease modifying therapies (DMT), and EDSS. Occurrence of relapse was analyzed in patients with ≥6 months follow-up data from OCR initiation.

Results

As of 4^th June 2020, MSBase included 2531 patients newly treated with OCR, of whom 1679 had an EDSS evaluation within 3 months of OCR start. There were 1185 patients with RRMS, 236 with SPMS, and 183 with PPMS. Median age at OCR initiation was 41.9 years, 49.5 years, to 50.1 years in RRMS, SPMS, and PPMS, respectively. Mean disease duration from symptom onset up to OCR initiation was longer in SPMS (19.7 years) than in RRMS (10.6 years) and PPMS (9.7 years). OCR was initiated as first line therapy in 17.5%, 5.5%, and 54.2% of RRMS, SPMS, and PPMS patients respectively. Most frequent previous DMT’s in RRMS were fingolimod (25.7%) and natalizumab (23.5%). 693 patients with RRMS had ≥6 months follow-up during OCR exposure. Of these, 643 remained relapse free (93%; 95% CI 86.0, 100.0) over a mean OCR exposure of 1.23 years. The annualized relapse rate (ARR) was 0.08 (95% CI 0.06-0.10), compared to an ARR of 0.85 in the 24 months pre-OCR start. In the overall cohort, treatment persistence at 12 and 24 months was 98.4% (95% CI: 97.3-9.1%) and 92.5% (95%CI 89-95%), respectively.

Conclusions

This study characterizes an international population of patients with RRMS, PPMS, and SPMS newly treated with OCR in a real-world clinical setting. First-line use was uncommon in RRMS and SPMS. During OCR treatment, ARR was below 0.1, and OCR discontinuations were very rare.